Triple
T37080373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makepekepe |
E918127
|
entity |
| Predicate | associatedClubLeagueTitles |
P205713
|
FINISHED |
| Object | multiple Zimbabwe Premier Soccer League championships |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: multiple Zimbabwe Premier Soccer League championships | Statement: [Makepekepe, associatedClubLeagueTitles, multiple Zimbabwe Premier Soccer League championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubLeagueTitles Context triple: [Makepekepe, associatedClubLeagueTitles, multiple Zimbabwe Premier Soccer League championships]
-
A.
clubManagedLeagueTitles
Indicates that a club has managed (coached) a team to one or more league title victories.
-
B.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
C.
leagueTitleWonWithClub
Indicates that a person has won a league title while playing for or being associated with a specific club.
-
D.
mostChampionshipTitlesClub
Indicates that a club holds the highest number of championship titles within a given competition or context.
-
E.
majorTitleWonWithClub
Indicates that a person has won a major title or championship while playing for or being associated with a specific club.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.